Hardware

A local LLM does not necessarily have to fit entirely inside your GPU’s VRAM. If the model is too large, runtimes such as llama.cpp can keep part

A 14 GB model file does not mean you need exactly 14 GB of VRAM to run it. The weights are only one part of the memory used during inference.

A local LLM can fit comfortably into your GPU at an 8,000-token context and run out of memory when you increase that context several times over.

A good local AI machine is not simply “the computer with the fastest GPU.” The right build depends on model size, context length, speed expectations, power